Perovskite-based optoelectronic devices,espe-cially perovskite light-emitting diodes(PeLEDs)and perovskite solar cells,have recently attracted considerable attention.The National Renewable Energy Laboratory(NREL)chart...Perovskite-based optoelectronic devices,espe-cially perovskite light-emitting diodes(PeLEDs)and perovskite solar cells,have recently attracted considerable attention.The National Renewable Energy Laboratory(NREL)chart inspires us to develop a counterpart for PeLEDs.In this study,we collect the record performance of PeLEDs including several new entries to address their latest external quantum efficiency(EQE),highest lumi-nance,and stability status.We hope that these performance tables and future updated versions will show the frontiers of PeLEDs,assist researchers in capturing the overview of this field,identify the remaining challenges,and predict the promising research directions.展开更多
Recently,water extraction based on the indices method has been documented in many studies using various remote sensing data sources.Among them,Landsat satellites data have certain advantages in spatial resolution and ...Recently,water extraction based on the indices method has been documented in many studies using various remote sensing data sources.Among them,Landsat satellites data have certain advantages in spatial resolution and cost.After the successful launch of Landsat 8,the Operational Land Imager(OLI)data from the satellite are getting more and more attention because of its new improvements.In this study,we used the OLI imagery data source to study the water extraction performance based on the Normalized Difference Vegetation Index,Normalized Difference Water Index,Modified Normalized Water Index(MNDWI),and Automated Water Extraction Index(AWEI)and compared the results with the Thematic Mapper(TM)imagery data.Two test sites in Tianjin City of north China were selected as the study area to verify the applicability of OLI data and demonstrate its advantages over TM data.We found that the results of surface water extraction based on OLI data are slightly better than that based on TM in the two test sites,especially in the city site.The AWEI and MNDWI indices performs better than the other two indices,and the thresholds of water indices show more stability when using the OLI data.So,it is suitable to combine OLI imagery with other Landsat sensor data to study water changes for long periods of time.展开更多
基金supported by the National Key R&D Program of China(No.2016YFB070700702)the National Natural Science Foundation of China(Grant No.51761145048)+1 种基金the Fundamental Research Funds for the Central Universities(HUST:2019421JYCXJJ004)the Innovation Funds of Wuhan National Laboratory for Optoelectronics(WNLO).
文摘Perovskite-based optoelectronic devices,espe-cially perovskite light-emitting diodes(PeLEDs)and perovskite solar cells,have recently attracted considerable attention.The National Renewable Energy Laboratory(NREL)chart inspires us to develop a counterpart for PeLEDs.In this study,we collect the record performance of PeLEDs including several new entries to address their latest external quantum efficiency(EQE),highest lumi-nance,and stability status.We hope that these performance tables and future updated versions will show the frontiers of PeLEDs,assist researchers in capturing the overview of this field,identify the remaining challenges,and predict the promising research directions.
基金The authors would like to thank the support by the Key Research Program of the Chinese Academy of Science[grant number KZZD–EW–14]the Visiting Scholar Foundation of Chinese Academy of Science.The authors would like to thank USGS for processing and providing Landsat data and the reviewers for their constructive comments and suggestions.The authors especially thank Prof Xiangming Xiao in the Earth Observation and Modeling Facility,University of Oklahoma,for his useful suggestions to this paper.
文摘Recently,water extraction based on the indices method has been documented in many studies using various remote sensing data sources.Among them,Landsat satellites data have certain advantages in spatial resolution and cost.After the successful launch of Landsat 8,the Operational Land Imager(OLI)data from the satellite are getting more and more attention because of its new improvements.In this study,we used the OLI imagery data source to study the water extraction performance based on the Normalized Difference Vegetation Index,Normalized Difference Water Index,Modified Normalized Water Index(MNDWI),and Automated Water Extraction Index(AWEI)and compared the results with the Thematic Mapper(TM)imagery data.Two test sites in Tianjin City of north China were selected as the study area to verify the applicability of OLI data and demonstrate its advantages over TM data.We found that the results of surface water extraction based on OLI data are slightly better than that based on TM in the two test sites,especially in the city site.The AWEI and MNDWI indices performs better than the other two indices,and the thresholds of water indices show more stability when using the OLI data.So,it is suitable to combine OLI imagery with other Landsat sensor data to study water changes for long periods of time.
基金supported by the National Natural Science Foundation of China(62050039 61725401 5171101030 51761145048 62004075 62005089 and 51902113)the National Key R&D Program of China(2016YFA0204000 and 2016YFB0201204)+2 种基金the Fundamental Research Funds for the Central Universities(HUST: 2019421JYCXJJ004)the Fund for Innovative Research Groups of the Natural Science Foundation of Hubei Province(2020CFA034)the Graduates’ Innovation Fund of Huazhong University of Science and Technology(HUST)(2021yjscxcy036)。
